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Microblogging violent attacks on medical staff in China: a case study of the Longmen County People’s Hospital incident

Overview of attention for article published in BMC Health Services Research, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
11 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Microblogging violent attacks on medical staff in China: a case study of the Longmen County People’s Hospital incident
Published in
BMC Health Services Research, May 2017
DOI 10.1186/s12913-017-2301-5
Pubmed ID
Authors

Jia Tian, Li Du

Abstract

A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People's Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China. Using the Sina Weibo's built-in search tool, we established a dataset of 661 Chinese-language micro-blogs containing the search terms: Longmen ("), doctor ("), and slash (") that were posted between July 15, 2015, the date of the violent incident at LCPH, and August 15, 2015. We performed a content analysis of the micro-blogs to examine: users' demographics, attitudes toward the injured doctor and the attacker, possible reasons for the hospital violence, and proposed measures for preventing doctors from violent incidents. 73.2% of the micro-blogs were sent by individual Weibo users, and 26.8% were posted by organizations. For individual users, around 10.0% described themselves as either doctors or healthcare providers, but users from the legal profession were rarely identified. Moreover, only 3 micro-blogs proposed concrete strategies for preventing hospital violence, and nearly 10.0% of micro-blogs expressed regrets about entering a medical career and attempts to quit medical positions. In general 56.3% of micro-blogs showed sympathy for the injured doctor, while less than 25.0% of micro-blogs explicitly condemned the attacker's behavior. Weibo users played a role in distributing news information about the violent incident at LCPH; however, the legal perspective is inadequately discussed in the debate, and discussion of constructive measures for protecting doctors and preventing hospital violence was rare. Our research suggests that critical challenges for the Chinese health care system will remain or become worse if no effective measures are implemented to prevent hospital violence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 25%
Student > Bachelor 7 11%
Researcher 7 11%
Student > Doctoral Student 3 5%
Student > Postgraduate 3 5%
Other 10 16%
Unknown 17 27%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Nursing and Health Professions 12 19%
Social Sciences 5 8%
Psychology 3 5%
Arts and Humanities 2 3%
Other 7 11%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2023.
All research outputs
#2,473,143
of 25,959,914 outputs
Outputs from BMC Health Services Research
#971
of 8,792 outputs
Outputs of similar age
#44,359
of 329,666 outputs
Outputs of similar age from BMC Health Services Research
#23
of 142 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,792 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,666 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.